IDx-DR AI Diagnostic System for Detecting Diabetic Retinopathy

An AI diagnostic system that detects signs of diabetic retinopathy in retinal images

• Proven to be effective in real-world clinical workflows
• ​Results in less than a minute – no human grader
• Clinically validated with high sensitivity and specificity

Easy to use

• Minimal operator training needed
• Uses standard 2-image per eye protocol and accepts most image formats, including DICOM
• Designed with common output formats to directly interface with other medical software and health record systems

Clear Output

Within one minute, the IDx-DR user will know if:

1. Exam quality was insufficient – Low quality images can be retaken immediately, while the patient is still at the camera

2. The patient is negative for referable DR – The patient can be re-screened at the normal interval

3. The patient has signs of referable DR – Outputs of Moderate DR detected or Vision-threatening DR detected indicate further action:

a. Over-read by a human grader

b. Tele-consultation

c. Referral to an ophthalmologist

• Minimal operator training needed
• Uses standard 2-image per eye protocol and accepts most image formats, including DICOM
• Designed with common output formats to directly interface with other medical software and health record systems